Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated

Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated

Bibliographic Details
Main Author: Liu, Xiaolei
Language:English
Published: University of Cincinnati / OhioLINK 2008
Subjects:
Biostatistics
bio statatistics
sample size
case control
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1221754897
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin12217548972021-08-03T06:12:52Z Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated Liu, Xiaolei Biostatistics bio statatistics sample size case control <p>Matched case-control design is a type of stratification for the control of confounding at the design stage. One of basic premises is a 1:M matched case-control study, where each case is matched with one or multiple controls on a number of variables. The goal is to test the equality of K odds ratios stemming from K+1 distinct matching scenarios. In the literature, conditional likelihood approach is used for calculating sample size for detecting specific departures from the null hypothesis of no association with a given power (See Sinha and Mukherjee 2006). In this research proposal, we use the full likelihood for calculating sample sizes. Comparisons are made between the two approaches.</p><p>The second study proposed is the calculation of sample sizes to detect departures from the null hypothesis of no association with a given power in unmatched case-control studies when an unknown number of controls are cases. The focus is on 2×2 case-control unmatched studies, in which the cases (those with the disease) are genuine but the controls may contain patients with disease due to misclassification in disease screening. We systemically examine the effect of such contamination on odds ratio and data analysis. We will provide sample size formulas using two different procedures by taking into account the contamination ratio, one procedure is by testing equivalence of two sample proportions and the other using log odds ratio test. The misclassification problem arose when planning a study to identify factors causing sleep apnea.</p> 2008 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1221754897 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1221754897 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Biostatistics
bio statatistics
sample size
case control
spellingShingle Biostatistics
bio statatistics
sample size
case control
Liu, Xiaolei
Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
author Liu, Xiaolei
author_facet Liu, Xiaolei
author_sort Liu, Xiaolei
title Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
title_short Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
title_full Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
title_fullStr Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
title_full_unstemmed Sample Size Calculations in Matched Case-Control Studies and Unmatched Case-Control Studies with Controls Contaminated
title_sort sample size calculations in matched case-control studies and unmatched case-control studies with controls contaminated
publisher University of Cincinnati / OhioLINK
publishDate 2008
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1221754897
work_keys_str_mv AT liuxiaolei samplesizecalculationsinmatchedcasecontrolstudiesandunmatchedcasecontrolstudieswithcontrolscontaminated
_version_ 1719432874181001216

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